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首页> 外文期刊>Brazilian Journal of Probability and Statistics >Marshall–Olkin Esscher transformed Laplace distribution and processes
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Marshall–Olkin Esscher transformed Laplace distribution and processes

机译:马歇尔·奥尔金·埃舍尔改变了拉普拉斯的分布和过程

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In this article we consider a class of asymmetric distributions which belongs to one parameter regular exponential family. The Marshall–Olkin version of this family is also considered. Various properties are examined. Applications of these models in time series analysis are discussed. We also consider an application of Marshall–Olkin Esscher transformed Laplace distribution in financial modeling. A comparative study shows that Marshall–Olkin Esscher transformed Laplace distribution is a better fit to our data compared to asymmetric Laplace and Esscher transformed Laplace distributions.
机译:在本文中,我们考虑一类不对称分布,它属于一个参数正则指数族。该家族的马歇尔-奥尔金版本也被考虑。检查各种性质。讨论了这些模型在时间序列分析中的应用。我们还考虑了Marshall-Olkin Esscher变换的Laplace分布在财务建模中的应用。一项比较研究表明,与不对称拉普拉斯和埃舍尔变换的拉普拉斯分布相比,马歇尔-奥尔金·埃舍尔变换的拉普拉斯分布更适合我们的数据。

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